Xometry is expanding the artificial intelligence (AI) at the core of its online manufacturing marketplace.
It’s introducing new lead-time prediction and personalized pricing models designed to make custom part sourcing faster and more predictable for enterprise buyers. The company said March 3 that its new enterprise machining lead time prediction model and upgraded dynamic pricing logic enhances its instant quoting engine. That system delivers real-time price and delivery estimates for custom-manufactured parts.
It trained the lead-time model on production and delivery performance data from Xometry’s global network of manufacturing partners. The company said the updated version uses a training dataset four times larger than its predecessor. It also incorporates additional inputs such as supplier certifications, material requirements and finishing specifications.
How Xometry is upgrading its marketplace’s AI
Xometry said the AI model achieved a significant improvement in root mean squared logarithmic error, a common measure of forecasting accuracy, compared with the prior version. The company did not disclose specific figures.
In practical terms, the update expands one-day lead-time options across a broader set of materials and part geometries, Xometry said. It also expects the AI update to reduce standard lead-time offerings for many customers by improving how it matches jobs with qualified suppliers and by streamlining production planning.
The system now accounts for compliance and overhead considerations. That includes AS9100D and ISO 9001 certifications. It also accounts for specialized finishing processes such as PTFE-impregnated hard anodizing and black oxide treatments.
At the same time, Xometry is broadening the rollout of enhanced dynamic pricing logic following user testing in Q4 2025. The updated pricing model analyzes part geometry, quote configuration and customer purchasing history. It generates quote-specific pricing rather than relying on static price tables.
The broader deployment to U.S. customers is underway, the company said.
Vaidy Raghavan, Xometry’s chief product and technology officer, said the changes shorten the time between data collection and operational impact. They do so by continuously retraining models on completed orders and delivery outcomes.
Xometry said its pricing and lead-time tools function within a closed-loop system that integrates digital quoting, supplier selection, production performance and delivery results. Each completed transaction feeds new data back into the platform to improve future predictions.
The company operates an AI-driven marketplace connecting buyers of custom-manufactured parts with a global network of suppliers. In addition to its marketplace, Xometry owns the Thomasnet industrial sourcing platform and provides cloud-based services aimed at digitizing procurement workflows in manufacturing.
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